Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory
Версия от 21:07, 20 января 2022; Ilya Schurov (обсуждение | вклад)
- Instructors: Ilya Schurov and Ivan Pozdnyakov
Materials
Date | Topics | Links | video |
---|---|---|---|
Jan 10 | Introduction. Quantitative linguistic research and data types. R basic | ||
Jan 17 | Statistical hypothesis testing. Binomial test | video |
Homeworks
Academic ethics policy: you have to do your homeworks by yourself. In case of academic cheating (e.g. if you copy someone else's work, etc.), your work will receive grade 0 and the program supervisor will be notified. If you feel that you are stuck with the homeowork, ask for instructor's advices and hints.
Late penalties: in case of late submission, your grade will be multiplied by exp(-t / 86400), where t is the number of seconds since the due date. For example, if you delay the submission by one day, your grade will be multiplied by exp(-1)=0.3678794412.
Extensions: you can ask for up to two extensions of homework due dates during the course. Each extension is one week. Extensions due to valid excuses (i.e. illness) do not count.
Homework #1
- Homework file
- Please, put your solutions in the Rmd template.
- Due date: Jan 30, 23:00.